| Zeit | Mo | Di | Mi | Do | Fr | Sa | So |
|---|---|---|---|---|---|---|---|
| 8:00 - 9:15 |
Business Intelligence & Data Science
|
Seminar (E-Commerce) - Q2
|
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| 9:30 - 10:45 | |||||||
| 11:00 - 12:15 |
Empirische Forschungs- und Analysemethoden
|
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| 12:30 - 13:45 | |||||||
| 14:00 - 15:15 |
Category Management
|
E-Commerce Plattform-Architektur
|
Smart Data (nach Moodle-Bekanntgabe)
|
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| 15:30 - 16:45 | |||||||
| 17:00 - 18:15 |
Kolloquium
Hörer |